ETA Certified AI Empowered Professional
Six self-paced courses in AI Fluency and Using AI Agents at Work, in three levels. Level 1: Foundations is free.
Six self-paced courses, about 14 hours, in three levels. Level 1: Foundations is free. Level 2: Practitioner and Level 3: Advanced are included with ETA Pro membership and above, or available to buy on joineta.org. Every module ends with a knowledge check, every course ends with a final assessment, and Level 3 ends with a capstone reviewed by ETA. Finish all three levels to earn the ETA Certified AI Empowered Professional certification.
Your path
- Level 1: Foundations · 83 min · 1 credit hourAI Fluency: Foundations
A plain-language introduction to generative AI at work. Learn how AI tools produce answers, where they help and where they fail, and complete your first safe, effective workflow with ETA's ADAPT framework.
- Level 1: Foundations · 83 min · 1 credit hourAI Agents at Work: Foundations
Learn what AI agents are, how much to let them do with the ETA Agent Autonomy Ladder, and how to give an agent its first task with a clear brief, the right approvals and a careful review.
- Level 2: Practitioner · 2.5 hr · On joineta.orgAI Fluency: Practitioner
Go beyond the basics: write expert-level briefs, work with files and data, verify and protect, and turn what works into templates and team playbooks using the ETA ADAPT framework.
- Level 2: Practitioner · 2.4 hr · On joineta.orgAI Agents at Work: Practitioner
Go beyond the basics: write agent specs that hold up, connect agents to your apps with least privilege, and design the approvals, verification and recovery steps that make agent work safe and worth it.
- Level 3: Advanced · 3.7 hr · On joineta.orgAI Fluency: Advanced
For people who lead AI use on a team: find the right opportunities, make AI work reliable at scale, govern it responsibly, and lead adoption, ending with a real workflow redesign plan.
- Level 3: Advanced · 3.1 hr · On joineta.orgAI Agents at Work: Advanced
Learn to choose the right processes for AI agents, design workflows with people in the loop, test, secure and monitor them, and run them in production, ending with a reviewer-graded capstone plan for a real process.